Fast macroblock encoding algorithm based on rate-distortion activity for multiview video coding

被引:5
作者
Zhu, Wei [1 ]
Zheng, Yayu [1 ]
Chen, Peng [1 ]
Feng, Jie [2 ]
机构
[1] Zhejiang Univ Technol, Coll Informat Engn, Hangzhou 310023, Zhejiang, Peoples R China
[2] Zhejiang Sci Tech Univ, Sch Informat & Elect & Elect, Hangzhou 310018, Peoples R China
基金
中国国家自然科学基金;
关键词
Multiview video coding; Mode decision; Motion estimation; Disparity estimation; FAST DISPARITY; MOTION ESTIMATION; MODE DECISION; PREDICTION;
D O I
10.1016/j.image.2014.06.001
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Multiview video coding (MVC) is the appendix H of H.264/AVC, and it requires a great amount of time to compress multiple viewpoints' video with complex prediction structures. To reduce the whole computational complexity of MVC, this paper proposes a fast macroblock (MB) encoding algorithm based on rate-distortion (RD) activity, and it includes the fast mode decision and the fast motion/disparity estimation. First, the RD activity type of the current MB is calculated by utilizing the Skip/Direct RD cost and the average RD costs of classified MB modes. Then, through utilizing the RD activity type and RD costs of the estimated modes, the selection of candidate modes, the early decision of Skip/Direct mode, and the reduction of Inter8 x 8 mode estimation are all presented in the fast mode decision. By using the RD activity type and the correlations of vectors, the selection of search center and the prediction of search range are introduced in the fast motion/disparity estimation. In addition, the proposed algorithm can be applied to temporal and inter-view views as well as anchor and non-anchor frames. An experiment with a wide range of video scenes, camera setups and quantization parameters was implemented, and the results confirmed that the proposed algorithm can reduce the encoding time significantly while maintaining a similar RD performance as the original MVC encoder. Compared to the state-of-the-art algorithms, the proposed algorithm also demonstrated better performances in the various test cases. (C) 2014 Elsevier B.V. All rights reserved.
引用
收藏
页码:1063 / 1078
页数:16
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